Aims and Scope
Model development through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex systems. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, PIC, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable due to space and/or time constraints. An important mission of the HPCMS Workshop – now at its eleventh year at PDP – is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science. HPCMS intent is to thus offer an opportunity to express and confront views on trends, challenges, and state-of-the art in computational problems and high-performance computing, related to areas in engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc.
Topics of Interest
- High Performance Computing in computational science: intra-disciplinary and multi-disciplinary research applications
- Complex systems modelling and simulation
- Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations
- Integrated approach to optimization and simulation
- MPI, OpenMP, Sycl and CUDA applications in Computational Science
- Optimization algorithms, modelling techniques related to optimization in Computational Science
- High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems
- Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms
- Hardware approaches (e.g., FPGAs, Neuromorphic computing, etc) of high performance computing in modeling and simulation
Important Deadlines
Paper submission: 15 November 2024
Acceptance notification: 10 December 2024
Camera ready due: 27 January 2025
Conference: 12 – 14 March 2025
Submission Guidelines
Submissions must be in PDF format and should not exceed 8 pages for long papers and 4 pages for short contributions. All submissions must follow the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) at https://www.ieee.org/conferences/publishing/templates.html. Submissions will be evaluated by at least three reviewers based on relevance, technical quality, potential impact, and clarity. All accepted papers will be included in the same proceedings volume published by Conference Publishing Services (https://ieeecps.org).
At least one author of an accepted paper must register for the conference and present in person their paper at the conference venue in Turin. Submissions should be made through the CMT system at:
https://cmt3.research.microsoft.com/PDP2025/Submission/Index
and choosing HPCMS under the “Create New Submission” tab.
HPCMS Chairs
– William Spataro – University of Calabria, Italy
– Giuseppe A. Trunfio – University of Sassari, Italy
– Donato D’Ambrosio – University of Calabria, Italy
– Rocco Rongo – University of Calabria, Italy
– Andrea Giordano – ICAR-CNR, Italy
HPCMS Program Committee
Gladys Utrera, Universitat Politècnica de Catalunya. Barcelona, Spain
Donato D’Ambrosio, University of Calabria, Italy
Pawel Topa, AGH University of Science and Technology, Poland
Gianluigi Folino, ICAR-CNR, Italy Lou D’Alotto, York College/CUNY, New York, USA
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Marisa Gil, Universitat Politècnica de Catalunya, Spain
Yaroslav Sergeyev, University of Calabria, Italy
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
Georgios Sirakoulis, Democritus University of Thrace, Greece
William Spataro, University of Calabria, Italy
Giuseppe A. Trunfio, University of Sassari, Italy
Marco Villani, University of Modena and Reggio Emilia, Italy
Jaroslaw Was, AGH University of Science and Technology, Poland
Davide Spataro, University of Calabria, Italy
Andrea Giordano, ICAR-CNR, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Gihan R. Mudalige, University of Warwick, UK
Alessio De Rango, University of Calabria, Italy
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Xavier Martorell, Barcelona Supercomputing Center and Universitat Politècnica de Catalunya, Spain
HPCMS Contact Form